Use grouping in scatter plots to make clusters visually obvious

Voltaiq now supports automatically generated grouping in scatter plots

The humble scatter plot is a powerful tool for recognizing trends and patterns. The problem is that the readability quickly plummets as datasets grow large.

A new feature in Voltaiq allows you to automatically split your dataset into groups, divided into set intervals or bins. These groups can be color-coded to make clusters and trends more visually obvious.

In this example, it was observed that as the electrolyte fill mass increased, the solution resistance and charge transfer resistance both decreased. The colors form a gradient, and make the direction of the trend clear. 

Try the new grouping feature in scatter plots

1. Add a new scatter plot widget.
2. In Groups & Categories, select a grouping data type, the attribute category, and the number of bins to be automatically calculated.
3. (Optional) Click on Configure to modify the edge used for calculating bins. This is useful for omitting outliers.
4. In Metrics, select the data type and metric for the x and y axes. In this example, device attributes are chosen for both axes.